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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series
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-ray videocystometry in awake mice, and optogenetic modulation of urothelial cells. The candidate will design and conduct experiments exploring mechanosensitive ion channels (e.g. TRPV4, PIEZO1/2) and
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with your wet-lab colleagues for the generation of single-cell RNA-Seq data sets, the design of validation experiments, and phenotyping. You will work very closely together with your dry-lab colleagues
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driving context-specific expression. You will work very closely together with your wet-lab colleagues for the design and follow-up of experimental validations. PhD (or MSc with research experience) in AI
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in the mentoring of PhD students co-hired on the project. For this exciting project, we seek talented and motivated candidates with experience in fungal biochemistry, molecular biology, and/or
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Job description We’re looking for a postdoc with hands-on experience in genetically modifying marine phytoplankton—someone excited to learn how microbes naturally sequester carbon in the environment
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your previous metabolomics and wet lab experience, and the biological questions you addressed in your PhD. Your CV Contact information of at least 2 references Interviews will begin at the end of May
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in (plant) molecular biology or biochemistry with max. 4 years of postdoc experience. You are an expert in molecular biology, biochemistry and/or (plant) biotechnology. You have guided (master/PhD
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subteam, working closely with an experienced lab technician, two dedicated PhD students, and two postdoctoral researchers on a project focused on in vitro screening methods, including the use of organoids
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology